Fine-tuning is the process of taking a pre-trained AI model and training it further on a smaller, domain-specific dataset. This process adapts the model’s vocabulary, tone, and reasoning to a particular industry, company, or use case. Fine-tuning allows organizations to leverage the general intelligence of large models while ensuring relevance and precision in their specific business context. The result is a model that not only understands the language of the business but also reflects its priorities and operational nuances.
